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meta-ads-analyser元广告分析器

Agent Skill

meta-ads-analyser 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

24,226

周安装

1,030

GitHub Stars

公开资料未说明

下载量

8,487
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:meta-ads-analyser(元广告分析器)
来源仓库:https://github.com/bluerockerr/meta-ads-analyser
安装命令:
openclaw skills install meta-ads-analyser
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install meta-ads-analyser

简介

分析提取的 Meta 广告创意并生成专业策略报告。

  • 输出干净有组织的文档用于内部复盘与投放优化。
  • 需配合 /meta_ads_extractor 使用以获得基础素材。
  • 安装命令:openclaw skills install meta-ads-analyser。
  • 报告结论应结合业务上下文人工验证后再执行决策。

SKILL.md

name
meta-ads-analyser
description
Analyze extracted Meta ad creatives and generate a professional strategy report. Use after /meta_ads_extractor to produce a clean, organized analysis document with inline videos/images grouped by funnel/landing page.

Meta Ads Analyser

Generate a professional ad strategy analysis report from extracted Meta ad creatives.

Prerequisites

  • Extracted ad assets from /meta_ads_extractor (images, videos, landing page screenshots)
  • Ad creative analysis (hooks, scripts, emotions, CTAs, strengths/weaknesses)
  • Landing page analysis (headlines, strategies, conversion flows)

Input

Assets folder from extraction, typically at:

~/clawd/output/meta-ads/{advertiser-slug}/
├── {slug}-video-01.mp4
├── {slug}-video-02.mp4
├── {slug}-image-01.jpg
├── {slug}-image-02.jpg
├── landing-{page-name}.jpg
└── ...

Analysis Process

1. Analyze Each Creative

For each ad creative, identify:

  • Aspect Ratio — Dimensions and ratio (1:1, 4:5, 9:16, 16:9)
  • Duration — For videos, length in seconds
  • Hook — Opening line/visual that stops the scroll
  • Script/Copy — Key messaging and value proposition
  • Visual Flow — Sequence of scenes/elements (for video)
  • Emotion — Primary emotional trigger (curiosity, fear, aspiration, etc.)
  • CTA — Call to action and friction level
  • Strengths — What works well
  • Weaknesses/Gaps — What could be improved

Use vision model for images, Gemini for video analysis.

Get dimensions with:

# Images (macOS)
sips -g pixelWidth -g pixelHeight image.jpg

# Videos
ffprobe -v error -select_streams v:0 -show_entries stream=width,height -of csv=p=0 video.mp4

Common aspect ratios:

RatioUse Case
1:1Feed (universal)
4:5Feed (recommended)
9:16Stories/Reels
16:9Landscape video

2. Analyze Landing Pages

For each landing page, identify:

  • Headline — Primary value proposition
  • Strategy — Key conversion elements (social proof, urgency, etc.)
  • Conversion Flow — Path from landing to purchase/signup
  • Strengths — What converts well
  • Gaps — Missing elements or friction points

3. Map Funnels

Group ads by their destination landing page. Each funnel = landing page + all ads driving to it.

Typical funnel types:

  • TOFU (Top of Funnel) — Awareness, lead magnets, quizzes, free content
  • BOFU (Bottom of Funnel) — Direct offer, application, purchase

4. Identify Strategy Patterns

Look for:

  • Credibility stacking (logos, credentials, social proof)
  • Price anchoring
  • Native creative (ads that don't look like ads)
  • Identity-driven copy
  • Testing patterns (variants of same creative)

Output Format

Generate a self-contained HTML report using the template structure below.

Report Structure

1. Header
   - Advertiser name
   - Stats (# ads, # funnels, date)

2. Strategy Overview (TOP)
   - High-level acquisition strategy
   - Funnel flow visualization
   - Creative testing patterns
   - Key takeaways (actionable insights)

3. Funnel Sections (one per landing page)
   - Funnel header (name, URL)
   - Landing page card (screenshot + analysis)
   - Ad cards grid (media + analysis for each)
   
4. Footer
   - Source attribution
   - Date generated

Styling Guidelines

  • Clean, doc-like design — white background, simple typography
  • No dark gradients or heavy styling — should feel like a PDF/Notion doc
  • Inline media — videos and images embedded and playable
  • Mobile-friendly — responsive grid for ad cards
  • Badges for quick scanning — TOFU/BOFU, Video/Image, Variant, Top performer, Aspect ratio (1:1, 4:5, 9:16)

Ad Card Format

Each ad card should display:

[Media: video/image]
[Badges: Type | Funnel Stage | Aspect Ratio | Duration (if video)]
[Title]
[Analysis fields: Hook, Script, Emotion, Strengths, Gaps]

Include aspect ratio badge on every ad card so patterns are visible at a glance (e.g., "all TOFU ads are 4:5, BOFU ads are 1:1").

See templates/report-template.html for the full HTML/CSS template.

Delivery

  1. Generate HTML file in the assets folder:
   ~/clawd/output/meta-ads/{advertiser-slug}/{slug}-analysis.html
  1. Zip the entire folder (HTML + all media assets)
  1. Send via Telegram with caption explaining contents

Important: The HTML uses relative paths to media files. Always deliver as a zip so the recipient can open it locally with all assets.

Example Workflow

User: Analyze the EricPartaker ads we extracted

1. Read assets folder: ~/clawd/output/meta-ads/ericpartaker/
2. Analyze each video with Gemini / image with vision
3. Analyze landing page screenshots
4. Map ads to landing pages (identify 3 funnels)
5. Identify strategy patterns
6. Generate HTML report
7. Zip folder
8. Send to user

Integration

This skill is designed to follow /meta_ads_extractor:

/meta_ads_extractor → downloads assets
/meta_ads_analyser → generates strategy report

Can also integrate with:

  • ad-creative-analysis — detailed individual ad breakdowns
  • landing-page-analysis — deeper landing page audits

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

73.48%
按下载量换算6,236

安全审计

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可疑

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可疑

Static analysis

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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